Skip to main content
thumbnail

INSTALLATION

Python-based Informatics Kit for the Analysis of Chemical Units

Step 1: Make a conda environment:

conda create -n pikachu python>=3.9
conda activate pikachu

Step 2: install pip:

conda install pip

Step 3: Install PIKAChU:

pip install pikachu-chem

GETTING STARTED

Step 1: Open python or initiate an empty .py file.

Step 2: Import required modules to visualise your first structure:

from pikachu.general import draw_smiles

Step 3: Load your SMILES string of interest and draw it!

smiles = draw_smiles("CCCCCCCCCC(=O)N[C@@H](CC1=CNC2=CC=CC=C21)C(=O)N[C@@H](CC(=O)N)C(=O)N[C@@H](CC(=O)O)C(=O)N[C@H]3[C@H](OC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H](NC(=O)CNC(=O)[C@@H](NC(=O)[C@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)CNC3=O)CCCN)CC(=O)O)C)CC(=O)O)CO)[C@H](C)CC(=O)O)CC(=O)C4=CC=CC=C4N)C")

Step 4: Play around with the other functions in pikachu.general. For guidance, refer to documentation in the wiki and function descriptors.

Citation

Terlouw, Barbara R., Sophie PJM Vromans, and Marnix H. Medema. "PIKAChU: a Python-based informatics kit for analysing chemical units." Journal of Cheminformatics 14.1 (2022): 34.

Metadata

Release files for pikachu-chem 1.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pikachu-chem 1.1.6
File Size Uploaded Provenance Actions
pikachu_chem-1.1.6.tar.gz 109.7 kB Without provenance Details for pikachu_chem-1.1.6.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pikachu-chem 1.1.6
File Interpreter ABI Platform Actions
pikachu_chem-1.1.6-py3-none-any.whl Python 3 none any Details for pikachu_chem-1.1.6-py3-none-any.whl

Total release size: 229.2 kB

Release files / pikachu_chem-1.1.6.tar.gz

Download URL pikachu_chem-1.1.6.tar.gz
Size 109.7 kB
Tags Source
SHA-256 checksum
How to use checksums
e579465d2ed0c0bd40fc4c9a073d428aa56b0e49ed71ebf4bf629d3b06e0a40e
BLAKE2b-256 checksum
How to use checksums
c05d20087fdbc37877d876bce612db8661dd8ac1a10f2bced7ea7d6507a26ed1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.0

Release files / pikachu_chem-1.1.6-py3-none-any.whl

Download URL pikachu_chem-1.1.6-py3-none-any.whl
Size 119.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e45f60b4c6e25770fa27897b62be4b752eeb984b1346265a96237c70062a7082
BLAKE2b-256 checksum
How to use checksums
f2dd862262557243117e88df6e488cc0b8359f0d1de725f15b9d9d33416aa529
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.0

Security for pikachu-chem 1.1.6

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page